MLOps & GenAI Engineer — Scalable AI Platform

Enfuce; España; Presencial; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work flexibility

Stock option program

Flexible vacation policy

Team activity budget

Descripción de la vacante

Enfuce is seeking a Machine Learning Engineer to build scalable MLOps platforms and production-grade AI systems in the financial services domain. You will own the ML lifecycle from data pipelines to deployment, monitoring, and governance, collaborating with data scientists and engineers.

Responsibilities include automated training, model versioning, and infrastructure as code, using cloud-native stacks for scalable, reliable AI deployments.

Formación

• Bachelor's or Master's in Computer Science, ML, or related field.
• Strong Python and SQL proficiency.
• Experience with MLflow for experiment tracking and model lifecycle.
• Experience with modern ML platforms (Snowflake, Vertex AI, SageMaker).
• Familiar with Git, CI/CD, and Infrastructure as Code.

Responsabilidades

• Design, build, and maintain scalable MLOps infrastructure for ML and Generative AI apps.
• Develop automated training, validation, testing, deployment, and CI/CD pipelines.
• Implement experiment tracking, model versioning, and artifact management.
• Build data pipelines, feature engineering, and workflow orchestration.
• Monitor production ML systems and ensure governance and reproducibility.
• Containerize workloads with Docker and deploy on Kubernetes.
• Develop IaC for AI platforms and cloud resources.
• Collaborate with Data Scientists and engineers to productionize AI solutions.
• Evaluate new MLOps tools and support LLM/Generative AI initiatives.

Conocimientos

Python

SQL

MLflow

Snowflake

dbt

Vertex AI

SageMaker

Git

Terraform

CloudFormation

Docker

Kubernetes

AWS

Azure

GCP

MLOps

LLM

Generative AI

Educación

Bachelor's or Master's in CS/ML/Software Eng

Herramientas

MLflow

Docker

Kubernetes

Snowpark ML

Vertex AI

SageMaker

Terraform

CloudFormation

Descripción del empleo

Enfuce is seeking a Machine Learning Engineer to build scalable MLOps platforms and production-grade AI systems in the financial services domain. You will own the ML lifecycle from data pipelines to deployment, monitoring, and governance, collaborating with data scientists and engineers.

Responsibilities include automated training, model versioning, and infrastructure as code, using cloud-native stacks for scalable, reliable AI deployments.